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Learner Reviews & Feedback for Introduction to Big Data by University of California San Diego

4.6
stars
10,792 ratings

About the Course

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top reviews

DK

Aug 11, 2021

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

HM

Sep 8, 2019

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

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1801 - 1825 of 2,460 Reviews for Introduction to Big Data

By Claudia S

Jan 26, 2018

Overall the course was excellent.

A minor annoying issue was that the volume level is not constant between videos, so using earplugs was not an option, if you had the chance to take various lessons in a row.

In the end, I had to turn off the volume and use the subtitles instead, to avoid ear damage.

By Luke S

Dec 25, 2016

This is a great introduction to the concepts of Big Data. Compared to whats available online, this course does a great job of digging into the components and definition of big data vs just diving in with code examples. Well worth it for anyone trying to get a holistic understanding of big data.

By Amit K Y

Jul 7, 2020

It's good as an introductory course! A lot of topics are covered briefly and excellent examples are presented to help people understand the concepts! There is a need to update the "Hadoop hands-on training" examples as cloudera has stopped the support for virtual VMs mentioned in the course.

By sachin d

Mar 27, 2017

Fantastic course and all concepts were very well explained. Interesting quiz at end of every section that tests understanding of the topic and the glimpse of Hadoop in the final section is the best part of the entire course.

Hadoop fs -Thanks Ilkay Altintas and Amarnath Gupta :)

By Serge L N

Sep 1, 2017

The content is good, however the presenters just read a text which makes it a bit boring to follow. Due to the style of presentation I find it rather distracting that the presenters are embedded in the presentation.

Further sources for additional reading would be great a well.

By Claudia T G

Aug 7, 2019

Great contents, and the way they explain them makes it easier to understand. If I had to mention an area, it would be to make the slides a bit more visual (the strong blue color sometimes made it more difficult to watch a few videos at a time). But overall great course!!

By Reynaldo A

Nov 22, 2016

Dr Altintas is an excellent presenter and very thorough. I would have enjoyed more practical exercises instead of mainly theory videos. The ones done with Hadoop in the last week were very enjoyable. I also enjoyed Dr Gupta's videos as well. Excellent intro to Big Data.

By Maithreyi S

Apr 22, 2017

I enjoyed this introductory course because it really provided the scope for this area of study and helped chart the course for the rest of the specialization as I move forward. Excited to move on through to the next course armed with what I have learned in this one!

By Shubham S

Jul 2, 2017

Nice course with proper foundation of big data. Instructors were describing things nicely. It would be more better if you add some more reading material of each content so that something which is not described in detail then we can go through it. Thanks coursera.

By Shababa B

Sep 27, 2020

Does a good job of providing foundational information about Big Data and the Hadoop ecosystem. The end of the course has a fairly easy hands on MapReduce exercise. I wish it had more exercises but I assume the other courses in the specialization would offer this.

By David M

Sep 4, 2020

El hecho de que mis compañeros revisen el trabajo de otros es muy poco objetivo, desde mi experiencia personal mandé un trabajo bien hecho que lo calificaron con un 40%, luego reenvié el mismo y obtuve un 100%, la calificación que merecía desde un inicio.

By Ganesh T

Aug 1, 2019

Overall experience was good with learning module. the objective to the course has meet the expectations.

Suggestion: Please check once the question module, which showing wrong with different answer combinations.

Rest all as per me up to the mark. Thank you

By Mustafa M

Apr 7, 2020

A good course for beginners to understand the basics of BigData and the history behind it. Learned basic definitions and understanding of terms used in BigData. Hand on practice to install VirtualBox and run hadoop basic commands in Cloudera Sandbox.

By Tariq A

Dec 27, 2019

I believe that I developed an understanding of the Introduction to big data. This is what I was interested in achieving. This is the first course I have taken from Online-learning.com and I feel that I am achieving a good understanding of big data.

By Oscar J M T

Sep 21, 2018

Creo que es un curso que explica muy bien las bases de Big Data y analítica. En ciertos momentos es demasiado básico pero es entendible pues esta orientado a muchos perfiles, no necesariamente experimentados en desarrollo de aplicaciones o analítica.

By Jaime R

Jun 4, 2021

For folks in industry, the first 2 weeks were painfully/needlessly slow. All material one knows, and quiz answers seemed a bit arbitrary at times. Week 3 was VERY useful material, the meat of gaps in my knowledge that I'm trying to address.

By Shreya V

Jul 23, 2017

This course gives the student an amazing exposure to the world of Big Data and in a very understandable way creates the concepts. The assignments really help in making the concepts stronger and give another level of confidence to the student.

By Monika B

Jan 18, 2017

Great introduction course. The pace is slow enough that a person without technical background should be able to follow it. However as you are not restricted to only do the current week task its also great for someone who had some experience.

By Eugene V

Feb 16, 2017

Good INTRODUCTION , an understanding of data management will help digest alot of it. But very simple and elegant course with only simple concepts to grasp which in reality covers big data pretty well! Excited to take the rest of the courses

By Chris V

Oct 12, 2016

If you're unfamiliar with how big data is processed and what makes it unique from "regular" data, this is a good introductory course. It provides sufficient detail to understand the key concepts, programs, and methodologies around Big Data.

By Marco A G O

Jul 24, 2019

Include more practical exercises per chapter, the student must wait until the end of the course for some on-hand laboratories. Add more details for some of the slides (Hadoop and Map-Reduce) so the student can use them for later reviews.

By Ingrid B

Mar 10, 2018

I didn't like the first assignment playing with the shapes in powerpoint; I almost quit and did a different specialization. Everything else was good. I felt very powerful "Enabling Virtualization" on my PC and getting Virtual Box to run.

By Fernanda G

Apr 4, 2018

Las primeras sesiones podrían condensarse más (aumentando la velocidad, no cortando contenido) y hacer más ejercicios de Hadoop al final, y explicar más sobre las aplicaciones de el mismo, o aplicar una herramienta alternativa también.

By Julien C

Oct 28, 2017

The speaking pace should be quite constant (sometimes it's slow, sometimes it's fast). Examples are useful. The Flamingo example is quite boring though. Interviews with experts are very useful to understand the application of Big Data.

By Richard W

Aug 3, 2017

The course gives a nice overview of the drivers of big data and the challenges of the process of acquiring value from it. Point of improvement: the video transcripts contain quite some errors, likely due to automatic speach conversion.